中国寄生虫学与寄生虫病杂志 ›› 2013, Vol. 31 ›› Issue (1): 11-49-53.

• 现场研究 • 上一篇    下一篇

江西省星子县不同空间位置洲滩螺情及与 近期水位的关系

王增亮1,赵飞2,张志杰1 *,姚保栋1,姜秋林3,陶波3,翟敏玲3,姜庆五1   

  1. 1 复旦大学公共卫生学院流行病学教研室、复旦大学公共卫生学院公共卫生安全教育部重点实验室、复旦大学公共卫生学院空间分析与建模实验室、复旦大学公共卫生学院GIS培训中心,上海200032;2 中国疾病预防控制中心,北京102206;3 江西省星子县血吸虫病防治站,星子332800
  • 出版日期:2013-02-28 发布日期:2013-04-23

Relationship between Snails and Recent Water Level in Differdent Marshlands in Xingzi County,Jiangxi Province

WANG Zeng-liang1, ZHAO Fei2, ZHANG Zhi-jie1 *, YAO Bao-dong1, JIANG Qiu-lin3, TAO Bo3, ZHAI Min-ling3, JIANG Qing-wu1   

  1. 1 Department of Epidemiology, School of Public Health, Fudan University; Key Laboratory on Public Health Safety, Ministry of Education; Laboratory for Spatial Analysis and Modeling, School of Public Health, Fudan University; Center For GIS Training, School of Public Health, Fudan University, Shanghai 200032, China; 2 Chinese Center for Disease Control and Prevention, Beijing 102206, China; 3 Xingzi Anti-schistosomiasis Station, Xingzi 332800, China
  • Online:2013-02-28 Published:2013-04-23

摘要: 目的  研究江西省星子县不同位置钉螺孳生地螺情的纵向变化及与近期水位的关系。  方法  收集江西省星子县西观湖、马家湾、西庙前3个洲滩2001-2010年的螺情资料以及水位资料,探讨螺情的纵向变化,用Spearman秩相关分析钉螺消长与近期水位变化的关系。  结果  马家湾洲滩和西庙前洲滩有螺框出现率和活螺密度最高分别为89.66%(442/493)(2002年)和66.72%(872/1307)(2007年)、8.33(2001年)和7.39只/框(2006年),最低为13.26%(126/950)(2010年)和4.60%(55/1195)(2005年)、0.42(2010年)和0.22只/框(2002年),2007年以后均出现下降趋势;西观湖洲滩最高为56.77%(197/347)和2.81只/框(2002年),最低为3.52%(30/852)和0.08只/框(2006年),2007年后呈上升趋势。马家湾洲滩于2005和2009年发现阳性螺,阳性螺密度与阳性螺出现率分别为0.003 3和0.002 5只/框、0.09%(3/3306)和0.22%(3/1389);西庙前洲滩于2001、2003、2005、2009年均发现阳性螺,其中2005年阳性螺密度和阳性螺出现率最高,分别为0.005 0只/框和0.88%(6/684);西观湖洲滩于2002和2003年发现阳性螺,阳性螺密度和阳性螺出现率分别为0.002 9和0.002 7只/框、0.10%(1/974)和0.32%(1/312)。Spearman秩相关分析显示,西观湖洲滩有螺框出现率和活螺密度与查螺前1个月(r=0.76,0.82)和查螺前2个月(r=0.71,0.78)平均水位的相关性均具有统计学意义(P<0.05);马家湾洲滩有螺框出现率和活螺密度与查螺前近3个月内平均水位的相关性均无统计学意义(P>0.05);而西庙前洲滩有螺框出现率和活螺密度与查螺前1个月(r=-0.67,-0.79)和查螺前2个月(r=-0.75,-0.72)平均水位则均呈负相关(P<0.05)。  结论  江西省星子县不同空间位置的洲滩螺情变化趋势不同,查螺前近3个月内水位对不同区域洲滩螺情变化的影响也不相同,洲滩螺情的控制策略应具有针对性。

关键词: 血吸虫病, 钉螺, 水位

Abstract: Objective  To study the longitudinal change of data on Oncomelania hupensis surveillance in different marshlands and the impact of recent water level in Xingzi County, Jiangxi Province.  Methods  All information including water level of hydrometric station and the data of snails at the marshlands of Xiguanhu, Majiawan and Ximiaoqian was collected to explore the longitudinal change of snails and analyze the relationship between snail distribution and recent water level with Spearman rank correlation analysis.  Results  The highest proportion of frames with living snails and living snail densities at Majiawan and Ximiaoqian was 89.66% (442/493) in 2002 and 66.72% (872/1 307) in 2007, 8.33 in 2001 and 7.39 snails per frame in 2006, respectively, and the lowest was 13.26% (126/950) in 2010 and 4.60% (55/1 195) in 2005, 0.42 in 2010 and 0.22 snails per frame in 2002, respectively, and tended to decrease gradually after 2007. At Majiawan,  infected snails were found in 2005 and 2009, the density and proportion of infected snails were 0.0033 and 0.0025 snails per frame, 0.09% (3/3 306) and 0.22% (3/1 389). Infected snails were found in Ximiaoqian in 2001, 2003, 2005 and 2009, the highest density and proportion of infected snails were 0.005 0 snails per frame and 0.88% (6/684) in 2005. Infected snails were found in Xiguanhu in 2002 and 2003 with a density and proportion of 0.002 9 and 0.002 7 snails per frame, 0.10% (1/974) and 0.32% (1/312), respectively. The correlation analysis between proportion of frames with living snails and density at Xiguanhu with the average water level of the first and second month before snail survey showed statistical significance, the correlation coefficient was 0.76, 0.71, 0.82 and 0.78(P<0.05), respectively. The correlation between proportion of frames with living snails and density at Majiawan showed no statistical significance with the average water level of recent three months before snail survey. The proportion of frames with living snails and density at Xiguanhu were negatively correlated with the average water level of the first and second month before snail survey, the correlation coefficient was -0.67, -0.75, -0.79 and -0.72(P<0.05), respectively.  Conclusion  The change trend of snail indicators in different marshlands in the County and impact of water level in recent three months on snail population are both different, and the snail control strategy in marshlands should therefore be adjusted.

Key words: Schistosomiasis japonica, Oncomelania hupensis, Water level